Fault Detection for Photovoltaic Systems Based on Multi-Resolution Signal Decomposition and Fuzzy Inference Systems

Zhehan Yi; Amir H. Etemadi

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Fault Detection for Photovoltaic Systems Based on Multi-Resolution Signal Decomposition and Fuzzy Inference Systems

机译：基于多分辨率信号分解和模糊推理的光伏系统故障检测

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This paper presents a detection scheme for DC side short-circuit faults of photovoltaic (PV) arrays that consist of multiple PV panels connected in a series/parallel configuration. Such faults are nearly undetectable under low irradiance conditions, particularly, when a maximum power point tracking algorithm is in-service. If remain undetected, these faults can considerably lower the output energy of solar systems, damage the panels, and potentially cause fire hazards. The proposed fault detection scheme is based on a pattern recognition approach that employs a multiresolution signal decomposition technique to extract the necessary features, based on which a fuzzy inference system determines if a fault has occurred. The presented case studies (both simulation and experimental) demonstrate the effective and reliable performance of the proposed method in detecting PV array faults.

机译：本文提出了一种光伏（PV）阵列的直流侧短路故障的检测方案，该阵列由多个以串联/并联配置连接的光伏面板组成。在低辐照条件下，尤其是在使用最大功率点跟踪算法时，几乎无法检测到此类故障。如果仍未被发现，这些故障可能会大大降低太阳能系统的输出能量，损坏面板并可能引起火灾。提出的故障检测方案基于一种模式识别方法，该方法采用多分辨率信号分解技术来提取必要的特征，模糊推理系统根据该特征来确定是否已发生故障。案例研究（仿真和实验）都证明了该方法在检测光伏阵列故障方面的有效和可靠性能。

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来源
《Smart Grid, IEEE Transactions on》 |2017年第3期|1274-1283|共10页
作者
Zhehan Yi; Amir H. Etemadi;
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作者单位

Department of Electrical and Computer Engineering, School of Engineering and Applied Science, George Washington University, Washington, DC, USA;

Department of Electrical and Computer Engineering, School of Engineering and Applied Science, George Washington University, Washington, DC, USA;

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正文语种 eng
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关键词
Circuit faults; Maximum power point trackers; Fuses; Fault detection; Biographies; Fuzzy logic;

机译：电路故障;最大功率点跟踪器;保险丝;故障检测;传记;模糊逻辑;

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机译：利用模式识别和模糊推理技术进行泵送系统故障检测和诊断。

Fault Detection for Photovoltaic Systems Based on Multi-Resolution Signal Decomposition and Fuzzy Inference Systems

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